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ICMCS
2008
IEEE
245views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A novel local feature descriptor for image matching
Image matching is a fundamental task of many problems in computer vision. This paper presents a novel local feature descriptor based on the gradient distance and orientation histo...
Heng Yang, Qing Wang
ICIP
2008
IEEE
14 years 2 months ago
Reliable interest point detection under large illumination variations
This appendix proves the illumination robustness of the proposed corner detector over the Harris corner detector. I. HARRIS CORNER DETECTOR The Harris corner detector [1] is based...
Murat Gevrekci, Bahadir K. Gunturk
ECCV
2006
Springer
14 years 9 months ago
EMD-L1: An Efficient and Robust Algorithm for Comparing Histogram-Based Descriptors
We propose a fast algorithm, EMD-L1, for computing the Earth Mover's Distance (EMD) between a pair of histograms. Compared to the original formulation, EMD-L1 has a largely si...
Haibin Ling, Kazunori Okada
ICCV
2007
IEEE
14 years 9 months ago
Shape Descriptors for Maximally Stable Extremal Regions
This paper introduces an affine invariant shape descriptor for maximally stable extremal regions (MSER). Affine invariant feature descriptors are normally computed by sampling the...
David G. Lowe, Per-Erik Forssén
DAGM
2005
Springer
14 years 1 months ago
Spiders as Robust Point Descriptors
This paper introduces a new operator to characterize a point in an image in a distinctive and invariant way. The robust recognition of points is a key technique in computer vision:...
Adam Stanski, Olaf Hellwich